AG WHP01K Review: Ranked #25 of 517

Last updated: October 21, 2026

The AG WHP01K ranks #25 out of 517 total Over-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Prices on this page were last checked October 20, 2026 at 10:35 PM UTC. Product prices and availability are accurate as of that date/time and are subject to change; the price and availability shown on Amazon at the time of purchase will apply to the purchase of this product.

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AG WHP01K - ranked #25 of 517 Over-Ear Headphones · Editor's rating 4.4/5

#25 AG WHP01K: $100 Wireless Discontinued eBay

Pros: A wireless ANC over-ear tuned by final with a very high preference score of 90 and full bass down to 20 Hz. Battery life is 35 hours (25 with ANC on), and an included 3.5 mm cable lets it run wired.

Cons: Discontinued and replaced by the WHP01K MK2, so new stock is hard to find. Peaks of 4.9 dB near 3 kHz and 4.5 dB near 5.6 kHz can add some glare to vocals, and the score rests on a single measurement.

Is the AG WHP01K right for you?

Buy it if

  • you want the tuning most listeners prefer in blind tests out of the box (Harman score 90).
  • you want sub-bass rumble that reaches down to 20 Hz.
  • you want noise cancelling for commutes or flights.
  • you want long battery life (claimed 35 hours).

Skip it if

  • you want to buy it new: it is discontinued.
Released2021 (5 years ago)
Active Noise CancellingYes
Battery Life35 hours (25 hours with ANC on)
Bluetooth CodecsSBC, AAC, aptX, aptX LL
Bluetooth Version5.0
Built-in MicrophoneYes
ConnectionWireless and wired
Deviation From Target1.64 dB standard deviation
Form FactorOver-ear
Frequency Response20Hz - 20kHz (Manufacturer specified)
Harman Preference Score90 (1 squig.link measurement, calibrated to AutoEQ)
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (-1.0 dB at 30 Hz)
Tonal Tilt-0.33 (negative is warmer, positive brighter)

EQ Presets

Harman target

Set a preamp of -2.1 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 100 out of 100, up from 90.

FilterFrequencyGainQ
Low shelf105 Hz-0.6 dB0.70
Peak186 Hz-3.3 dB0.74
Peak654 Hz-1.7 dB3.04
Peak1,380 Hz+2.2 dB2.46
Peak2,963 Hz-4.9 dB6.00
Peak4,203 Hz+2.2 dB6.00
Peak5,837 Hz-5.2 dB5.62

Neutral target

Set a preamp of -2.0 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 100 out of 100, up from 65.

FilterFrequencyGainQ
Low shelf105 Hz-6.3 dB0.70
Peak186 Hz-3.2 dB0.64
Peak663 Hz-1.6 dB3.27
Peak1,378 Hz+2.2 dB2.33
Peak2,963 Hz-4.9 dB6.00
Peak4,203 Hz+2.2 dB6.00
Peak5,837 Hz-5.2 dB5.62

Studio flat target

Set a preamp of -3.5 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 100 out of 100, up from 34.

FilterFrequencyGainQ
Low shelf105 Hz-8.2 dB0.70
High shelf10,000 Hz+1.5 dB0.70
Peak198 Hz-5.0 dB0.61
Peak635 Hz-1.8 dB3.15
Peak1,182 Hz+1.4 dB3.86
Peak1,939 Hz+3.6 dB1.72
Peak2,979 Hz-2.2 dB6.00
Peak4,125 Hz+2.5 dB6.00
Peak5,835 Hz-5.2 dB6.00

Warm target

Set a preamp of -1.9 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 100 out of 100, up from 87.

FilterFrequencyGainQ
Low shelf105 Hz-0.4 dB0.70
High shelf10,000 Hz-2.6 dB0.70
Peak186 Hz-3.2 dB0.84
Peak1,327 Hz+2.3 dB2.56
Peak2,942 Hz-4.1 dB6.00
Peak4,222 Hz+3.5 dB6.00
Peak6,320 Hz-4.5 dB0.74

Bass target

Set a preamp of -5.0 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 100 out of 100, up from 89.

FilterFrequencyGainQ
Low shelf105 Hz+3.2 dB0.70
Peak23 Hz+1.8 dB2.37
Peak188 Hz-3.3 dB0.79
Peak651 Hz-1.7 dB2.95
Peak1,381 Hz+2.2 dB2.51
Peak2,963 Hz-4.9 dB6.00
Peak4,203 Hz+2.2 dB6.00
Peak5,838 Hz-5.2 dB5.61
Peak7,213 Hz-1.2 dB4.16

Bright target

Set a preamp of -3.9 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 96 out of 100, up from 48.

FilterFrequencyGainQ
Low shelf105 Hz-6.4 dB0.70
High shelf10,000 Hz+1.4 dB0.70
Peak186 Hz-3.2 dB0.63
Peak2,932 Hz-3.2 dB6.00
Peak4,265 Hz+4.1 dB4.29

V-shaped target

Set a preamp of -4.6 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 92 out of 100, up from 83.

FilterFrequencyGainQ
Low shelf105 Hz+3.8 dB0.70
High shelf10,000 Hz+1.8 dB0.70
Peak186 Hz-2.0 dB0.92
Peak1,568 Hz+1.8 dB1.94
Peak2,964 Hz-3.1 dB6.00
Peak4,346 Hz+4.5 dB4.14

Frequency Response

How the AG WHP01K measures across the audible range, against the Harman over-ear target that most listeners prefer in blind tests. Where the line sits above the target that range sounds louder (more bass, brighter treble), below it quieter. The curve is a single measurement, and both lines are shifted so their 500 Hz to 2 kHz average sits at 0 dB.

AG WHP01KHarman target
Measured frequency response of the AG WHP01K-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: a single measurement from the squig.link database of sai. Thanks to them for publishing their work.